scholarly journals The Impact of Artificial Intelligence on International Trade

2021 ◽  
Vol 1 (1) ◽  
pp. 1-20
Author(s):  
Christina Tay

This paper investigates the impact of artificial intelligence on international trade. We use data on neural machine translation & search engines dominating domestic markets from 2016 to 2019, comprising 196 countries to test for their impact on international trade. Three variations of international trade are used: (1) manufacturing trade (sum of manufacturing exports & imports), (2) manufacturing export, and (3) manufacturing import. We cross-breed artificial intelligence theories with that of international economics. We find that artificial intelligence shows significant results at the 1% level for manufacturing trade, at the 10% level for manufacturing export, and at the 1% level for manufacturing import. We also find that as increasing number of languages are introduced through neural machine learning, there is a decreased need to comprehend the language of another country, which in turn, have significant impact on all three variations of international trade. We also find that domestic search engines are increasingly dominating domestic and global market shares.

Author(s):  
O. Vikulova ◽  
D. Gornostaeva

Based on the latest foreign sources, the article examines the impact of Artifi cial Intelligence and related robotics and automatization on the global economy, international trade, global value chains, the motivation and activities of companies, especially TNCs, the activities of the WTO, as well as the social consequences of these processes.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
DeMaria Federica ◽  
Drogue Sophie ◽  
Lubello Pasquale

AbstractIn this article, we investigate how pest risk management protocols may affect trade flows of fresh apples. We apply our analysis to two major players in the international trade of fresh apples: France and Chile. These two countries have been chosen because they are among the world’s leading apple exporters and although they have similar market shares, they differ in terms of destination markets, seasonality, local conditions and export strategy. In order to assess the impact of pest risk management protocols on international trade of apples from France and Chile, we introduce in a gravity equation beside the traditional variables, a score able to measure their complexity. The results are interesting in the sense that even if the score for France and Chile by main trading partners are rather close, we found that French apples exporters would be more impacted by pest risk management protocols than their Chilean counterparts.


2018 ◽  
Vol 56 (2) ◽  
pp. 565-619 ◽  
Author(s):  
Andrew B. Bernard ◽  
J. Bradford Jensen ◽  
Stephen J. Redding ◽  
Peter K. Schott

Research in international trade has changed dramatically over the last twenty years, as attention has shifted from countries and industries towards the firms actually engaged in international trade. The now-standard heterogeneous firm model posits measure-zero firms that compete under monopolistic competition and decide whether to export to foreign markets. However, much of international trade is dominated by a few “global firms,” which participate in the international economy along multiple margins and account for substantial shares of aggregate trade. We develop a new theoretical framework that allows firms to have large market shares and decide simultaneously on the set of production locations, export markets, input sources, products to export, and inputs to import. Using US firm and trade transactions data, we provide strong evidence in support of this framework's main predictions of interdependencies and complementarities between these margins of firm international participation. Global firms participate more intensively along each margin, magnifying the impact of underlying differences in firm characteristics and increasing their shares of aggregate trade. (JEL D22, F14, F23, L60, R32)


2021 ◽  
Author(s):  
Nehul Singh ◽  
Satyendra Chouhan

<div>Artificial intelligence has proven a matching technology to support multiple business system applications. This technology has been in use to reshape current business models and to provide innovative management strategies. Growing business competition among major players is also strengthening its applications. The business information system with use of artificial intelligence raises the competitiveness of enterprises in the global market. The fast pace of merging artificial intelligence and automation are propelling strategists to revise business models and to explore new possibilities to meet the customer expectations. This paper focuses on the impact of artificial intelligence on business systems. The article also presents an overview of influential academic achievements and innovations in the field of artificial intelligence and their solutions for entrepreneurial activities. In the end, we intend to discuss important points spurred around us in today’s scenario about the challenges and future of artificial intelligence.</div>


2021 ◽  
Vol 8 (2) ◽  
pp. 69-74
Author(s):  
Nilesh Anute ◽  
Manish Paliwal ◽  
Meet Patel ◽  
Nikita Kandale

The objective of the paper is to determine the impacts of Artificial intelligence, and a machine learning on Business operations and to identify the impact by using a systematic approach of the artificial intelligence and a machine learning in an industry. With the introduction of an industry 4.0 the technology of the artificial intelligence and a machine learning is leading to an industrial revolution. A literature reviews on Machine learning and artificial intelligence is studied to identify the impacts of both technologies on business before and after this industrial 4.0 an introduction from 1999. From last few years, we have observed many products and services their industrial availability, and social economic impacts, this emerges questions on Artificial intelligence are hype or a reality. This paper addresses the impact of both these technologies on an entrepreneurial activity and thus on a global market.


Author(s):  
Josef Abrhám ◽  
Milan Vošta ◽  
Peter Čajka ◽  
Filip Rubáček

Purpose. This paper evaluates the involvement of three selected agricultural commodities (rice, coffee and soya) in international trade. The aim is to analyze the specification of foreign trade in selected commodities and assess their different significance between representations in domestic markets and exports. This article will also assess other contexts related to international trade in these three commodities, including the negative effects on their trade. Based on the set goal, a research question was asked which evaluates the different position of the examined agricultural commodities on world export markets in relation to domestic consumption. Methodology / approach. The theoretical anchoring of the issue under study are the approaches taken to international economic relations with the emphasis on the specific features of agricultural trade. The methodological framework of the present study is based on the systematic analysis of the spatial distribution of production capacities, the territorial analysis of exports and imports within the world agricultural market and qualitative evaluation of the specifics of selected export commodities and their role in the economy of countries, including labour market importance and in the possibilities of their use. Results. The paper presents the results of the involvement of the rice, coffee and soya in international trade analysis. Most rice production is consumed on domestic markets. Unlike rice, most of the coffee produced is exported and less is consumed within the growing countries themselves. Although domestic coffee consumption is increasing, more than 70% of world production is exported. Soya bean production has increased significantly over the past 50 years as a result of the rising demand for animal feedstuff and biofuels. Almost three quarters of soya bean production is consumed as feedstuff. Originality / scientific novelty. The main contribution of the article is in the application level the elaboration of a comparative view of three selected agricultural commodities. At the theoretical level of the study, it represents a contribution to the discussion within the approaches to the organization of global agricultural trade, the interdependence of economic policies of states, trade ties and the impact on labour markets in relation to production. Agricultural commodities remain an important item in world international trade. However, their share in the total volume is gradually declining. They play an important role in the maintenance of individual countries, but at the same time they are of great economic importance, although we can also mention the less positive aspects of their production, including their impact on the environment. At the same time, it is necessary to realize that this sector is essential for human survival and also that agriculture is important from the point of food security for the population, which can contribute to and increase the level of agricultural protectionism (resilience to world market disruptions or uncontrolled import of genetically modified (GM) food and the transmission of animal diseases). Agriculture is one of the most sensitive economic sectors in the world. Nevertheless, agricultural exports have several economic benefits, including stimulating a wide range of agricultural-related industries, transport suppliers, processing and farm inputs. Practical value / implications. The production of agricultural commodities is of great importance to the economies of individual states, where it contributes to the creation of direct, indirect and induced jobs. The agrarian sector is a key sector, especially for less developed countries. The analysis confirmed the high tradability of all commodities examined and is documented by their involvement in the international division of labour in the global projection.


2021 ◽  
Author(s):  
Nehul Singh ◽  
Satyendra Chouhan

<div>Artificial intelligence has proven a matching technology to support multiple business system applications. This technology has been in use to reshape current business models and to provide innovative management strategies. Growing business competition among major players is also strengthening its applications. The business information system with use of artificial intelligence raises the competitiveness of enterprises in the global market. The fast pace of merging artificial intelligence and automation are propelling strategists to revise business models and to explore new possibilities to meet the customer expectations. This paper focuses on the impact of artificial intelligence on business systems. The article also presents an overview of influential academic achievements and innovations in the field of artificial intelligence and their solutions for entrepreneurial activities. In the end, we intend to discuss important points spurred around us in today’s scenario about the challenges and future of artificial intelligence.</div>


Author(s):  
Farooq Habib ◽  
Murtaza Farooq Khan

This chapter focuses on the impact of supply chain digitalisation on a connected global market. The first section focuses on the dynamic consumer requirements and preferences. The second section appraised the segmentation and mapping of digital technologies. The third section examines the contemporary application of digital technologies including: big data, blockchains, artificial intelligence, machine learning, and data analytics. The final section analysises the rules and regulations the form the basis of a contemporary framework for the governance of digital technologies.


2019 ◽  
pp. 79-91 ◽  
Author(s):  
V. S. Nazarov ◽  
S. S. Lazaryan ◽  
I. V. Nikonov ◽  
A. I. Votinov

The article assesses the impact of various factors on the growth rate of international trade. Many experts interpreted the cross-border flows of goods decline against the backdrop of a growing global economy as an alarming sign that indicates a slowdown in the processes of globalization. To determine the reasons for the dynamics of international trade, the decompositions of its growth rate were carried out and allowed to single out the effect of the dollar exchange rate, the commodities prices and global value chains on the change in the volume of trade. As a result, it was discovered that the most part of the dynamics of international trade is due to fluctuations in the exchange rate of the dollar and prices for basic commodity groups. The negative contribution of trade within global value chains in 2014 was also revealed. During the investigated period (2000—2014), such a picture was observed only in the crisis periods, which may indicate the beginning of structural changes in the world trade.


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